Prediction of difficult laryngoscopy / difficult intubation cases using upper airway ultrasound measurements in emergency department; A diagnostic study

DOI: https://doi.org/10.21203/rs.3.rs-1707680/v1

Abstract

Introduction: Difficult laryngoscopy and intubation are serious problems among critically ill patients in emergency department (ED) so utility of a rapid, accurate and noninvasive method for predicting of these patients are necessary. Ultrasonography has been recently used in this regard and this study was conducted to investigate the correlation of some introduced upper airway ultrasound parameters with difficult laryngoscopy / difficult intubation in patients referred to the ED.

Method: In this diagnostic study all patients ≥18-year-old who had an indication for rapid sequence intubation (RSI) were included. Ultrasound parameters including Hyoid Bone Visibility (HBV), Distance from Skin to Hyoid Bone (DSHB), Distance from Skin to Vocal Cords (DSVC), Distance from Skin to Thyroid Isthmus (DSTI), and Distance between Arytenoids Cartilages (DBAC) were measured in all cases. The patients underwent RSI and thereafter the patients’ baseline characteristics, Cormack-Lehane grade, number of attempted laryngoscopy were recorded in a pre-prepared check list and compared with measured ultrasound parameters. The “difficult laryngoscopy” was defined as Cormack-Lehane classification grades III/IV; and need for more than 3 intubation attempts was considered as “difficult intubation”.

Results: One hundred and twenty-three patients (52% male) were included of whom 10 patients (8.1%) were categorized as difficult laryngoscopy cases; and just 4 (3.3%) cases underwent more than 3 laryngoscopy attempts who considered as difficult intubation cases. The mean age of the patients in non-difficult and difficult intubation groups were 69.2±15.16 and 68.77±17.37 years, respectively (p>0.05). There was no significant relationship between difficult laryngoscopy and HBV (P=0.381) but has significant correlation with difficult intubation (p=0.004). The DSHB had a significant correlation with difficult laryngoscopy (p=0.002) but its correlation with difficult intubation was not significant (p=0.629). The DSVC and DSTI had a significant relationship with both difficult laryngoscopy (p=0.003 and p=0.001), and difficult intubation (p=0.025 and p=0.001). The DBAC had not significant correlation neither with the difficult laryngoscopy (p=0.142), nor with difficult intubation (p=0.526).

Conclusion: The findings showed that ultrasound parameters including soft tissue DSHB, DSVC and DSTI could be proper predictors of difficult laryngoscopy. Also, HBV, DSVC and DSTI may be proper predictors for difficult intubation. But DBAC was not useful in this regard.

Introduction

Endotracheal intubation (ETI) through direct laryngoscopy is often performed in patients to establish an airway to provide adequate ventilation and oxygenation, and/or to protect the airway from aspiration of oral and pharyngeal secretions (1, 2). Difficult intubation occurs due to insufficient vision of the larynx during direct laryngoscopy and its incidence in elective cases in operating rooms is 0.4–8.5% (3, 4); But in emergency departments (ED), the incidence is higher and reach about 2-14.8% (57). ETI in the ED could be associated with many difficulties due to insufficient knowledge of the patient's previous history, hypoxia, shock, full stomach, vomiting, presence of blood and secretions in the airway, restlessness and agitation, uncertainty of previous allergy and current diagnosis, history of previous illness, limited neck maneuver in traumatic patients and etc. Such constraints make the actual number of difficult intubation in the ED higher than the number reported by anesthesiologists in operating room ED (811). Moreover, repeated attempts for ETI and multiple laryngoscopies are associated with complications such as cardiac arrest, hypoxia, arrhythmia, regurgitation, and airway trauma (12). It seems that, to prevent such complications, early detection of probable difficult laryngoscopy cases is of great importance in the ED. Therefore, various screening methods and scales have been defined in this regard (13). Cormack-Lehane classification, Wilson's Criteria, Macocha score are among screening methods that is used to predict difficult airway and laryngoscopy cases; However, all have considerable limitations (3, 14, 15). Therefore, the search for a simple, non-invasive technique that provides a more accurate assessment of the patient's airway still continues. The ideal method is expected to be fast, accessible, simple and non-invasive (11, 16, 17). Ultrasound is a safe, non-invasive, low-cost, radiation-free and portable device that allows physicians to evaluate airway anatomy. It is easy to use and provides high resolution moving images (18, 19). Today, portable ultrasound devices are widely available in EDs and recently studies have focused on its capabilities in terms of airway management (20). At present, airway ultrasonography is not yet used as a common method for airway assessment. Although several parameters of airway ultrasound have been mentioned in various studies as difficult airway prediction indicators, research is still ongoing to obtain easy and accurate measures (15). Therefore, this study performed to investigate the relationship between some upper airway ultrasound assessment parameters with difficult laryngoscopy / difficult intubation in patients referred to the ED.

Methods

Study setting and population

This diagnostic study was conducted prospectively for a period of one year from May 2019 to May 2020 in the ED of educational medical centers (Shariati and Sina Hospitals) in Tehran, Iran.

All patients who were in age range of 18–80 years, who had referred to the EDs of mentioned hospitals, with an indication for performing rapid sequence intubation (RSI), were eligible. Patients with trauma to the neck, face or those required cervical collars or had indication of crash intubation, and also patients with clear airway obstruction were excluded. Considering the 8% incidence of difficult intubation, the sample size was estimated as 100 subjects.

Definitions

The “difficult laryngoscopy” based on ASA Task Force was defined as Cormack-Lehane classification grades 3 and 4. Need for more than 3 intubation attempts by a trained provider or attempts at intubation that last longer than 10 minutes was considered as “difficult intubation”.

Ultrasonography technique

Airway ultrasonography was performed using the Linear probe 6–13 MHZ and the ultrasound device SONOACE X8 SAMSUNG, by a PGY-3 emergency medicine resident who had been trained for 2 months in the airway ultrasound workshop to determine ultrasound parameters. Sonography was performed in cardiopulmonary resuscitation (CPR) room in the ED, during conducting pre-oxygenation phase of RSI and without interfering with it. The patient was in a supine position with the head extended from the neck and the neck was in an angled or curved position relative to the trunk. The airway was examined in the anterior neck in two views (i) Sagittal view on the longitudinal axis of the middle line and (ii) Transverse view in anterior of the neck. Five ultrasound parameters including Hyoid Bone Visibility (HBV), Distance from Skin to Hyoid Bone (DSHB), Distance from Skin to Vocal Cords (DSVC), Distance from Skin to Thyroid Isthmus (DSTI), and Distance between Arytenoids Cartilages (DBAC) were measured and recorded (Figs. 1). Then, the patient was intubated by the in-charge physician. Macintosh blades were used for intubation in all patients. All cases of intubation were performed by a senior student of emergency medicine.

Data collection

After performing the ultrasound and RSI, the patient's information including age, sex, BMI, neck circumference size at the superior border of the thyroid cartilage, Cormack-Lehane grade, and the number of performed laryngoscopies were recorded in a pre-prepared checklist.

Statistical analysis

Central indicators (mean, median, etc.) and dispersion indicators (standard deviation, variance, etc.) were used to analyze descriptive data. Comparison analysis was performed using the t-test for continuous variables and chi-square or Fisher exact test for non-continuous variables. Operating characteristic (ROC) analyses were used to calculate the comparable threshold values of ultrasound parameters. SPSS-20 software was used to analyze the data. The level of statistical significance was P < 0.05, and p < 0.0001 was considered to be very statistically significant.

Results

Baseline findings

In this study, 123 patients, including 64 males (52%) and 59 females (48%), were evaluated, whose baseline variables are summarized in Table 1. Ten out of 123 patients (8.1%) had difficult laryngoscopy. Females accounted for 60% of patients with difficult laryngoscopy, and there was no significant correlation between gender or age and difficult laryngoscopy. It should be noted that 119 (96.7%) patients intubated with less than 3 laryngoscopy attempts, and just 4 (3.3%) underwent more than 3 laryngoscopies who considered as difficult intubation cases.

Table 1

Baseline variables of the two groups of difficult and non-difficult laryngoscopy cases

Variable

Difficult (n = 10)

Non-difficult (n = 113)

p

Mean ± SD / number (%)

Age (year)

69.2 ± 15.16

68.8 ± 17.4

0.4

Sex

   

0.4

Male

4 (40.0)

60 (53.1)

Female

6 (60.0)

53 (46.9)

Neck circumflex (cm)

43.73 ± 4.89

39.43 ± 4.52

0.005

Body Mass Index

32.7 ± 5.56

24.67 ± 4.95

0.001

< 18.5

0 (0.0)

6 (5.3)

18.5–24.9

2 (20.0)

62 (54.9)

25–29.9

5 (50.0)

40 (35.4)

≥ 30

3 (30.0)

5 (4.4)

Cormack-Lehane classification

   

< 0.001

Grade 1

0 (0.0)

69 (61.1)

Grade 2

0 (0.0)

44 (38.9)

Grade 3

7 (70.0)

0 (0.0)

Grade 4

3 (30.0)

0 (0.0)

Difficult laryngoscopy

The relationship of the measured ultrasound parameters with difficult laryngoscopy is reported in Table 2. Based on the findings, DSHB, DSVC, and DSTI had a significant relationship with difficult laryngoscopy (p < 0.05). However, there was no significant relationship between DBAC and difficult laryngoscopy (p = 0.142). The hyoid bone was not visible in 13 patients (10.6%), that just 3 of them had Cormack-Lehane grade III/IV; and also hyoid bone was visible in 7 out of 10 difficult laryngoscopy cases. These findings indicate that there was no significant relationship between difficult laryngoscopy and HBV (P = 0.381).

Table 2

The relationship of the ultrasound parameters with difficult laryngoscopy

Variable

Difficult (n = 10)

Non-difficult (n = 113)

p

Mean ± SD (mm)

DSHB

11.04 ± 2.06

8.60 ± 1.93

0.002

DSVC

9.42 ± 1.66

7.58 ± 1.58

0.003

DSTI

11.55 ± 2.17

8.75 ± 2.22

0.001

DBAC

7.17 ± 1.92

6.38 ± 1.59

0.142

HBV: Hyoid Bone Visibility. DSHB: Distance from Skin to Hyoid Bone. DSVC: Distance from Skin to Vocal Cords. DSTI: Distance from Skin to Thyroid Isthmus. DBAC: Distance between Arytenoids Cartilages.

The ROC curve was used to determine the best cut off point of indices (Fig. 2). AUC of all parameters was higher than 0.7, indicating that all of them were appropriate parameters in predicting difficult laryngoscopy. The sensitivity of DSHB, DSVC and DSTI parameters in estimating difficult laryngoscopy were 57%, 70%, and 80%, respectively, and their specificity in the diagnosis of difficult laryngoscopy were 84%, 84%, and 77%, respectively. The cut of point number for DSHB, DSVC, and DSTI was 10.33, 9.41 and 10.16 mm, respectively. The DSTI index had the highest sensitivity and DSHB and DSVC had the highest specificity in predicting difficult laryngoscopy (Table 3).

Table 3

Statistical characteristics of measured ultrasound parameters in predicting difficult laryngoscopy

Variable

Cut of point (mm)

Sensitivity

Specificity

Confidence interval

Higher bound

Confidence interval

Lower bound

AUC

DSHB

10.33

57%

84%

0.952

0.633

0.793

DSVC

9.41

70%

84%

0.928

0.623

0.776

DSTI

10.16

80%

77%

0.944

0.670

0.807

DSHB: Distance from Skin to Hyoid Bone. DSVC: Distance from Skin to Vocal Cords. DSTI: Distance from Skin to Thyroid Isthmus.

The sensitivity and specificity of HBV in the upper airway ultrasound was, 91.15% (CI = 95.84–67.33) and 30% (CI = 65.25–6.67), respectively. The positive and negative predictive values of HBV were 93.64% (CI = 95.68–90.71) and 23.08% (CI = 47.81–8.94), respectively (Table 4).

Table 4

Statistical characteristics of hyoid bone visibility via ultrasound in predicting difficult laryngoscopy

Characteristic

Results

Higher bound confidence interval

Lower bound confidence interval

Sensitivity

91.15%

95.67

84.33

Specificity

30%

65.25

6.67

Positive likelihood ratio

1.30

1.96

0.86

Negative likelihood ratio

0.29

0.90

0.10

Positive predictive value

93.64%

95.68

90.71

Negative predictive value

23.08%

47.81

8.94

Difficult intubation

Difficult intubation rate in this study was 8.1%. There was no failed intubation among samples, and patients with difficult intubation were eventually intubated by another method, such as using a bougie. Table 5 shows the statistical relationship between the 5 ultrasound parameters and difficult intubation. Among patients who were not difficult intubation cases, the hyoid bone was not visible in 10 (8.4%) patients. In those with difficult intubation, the hyoid bone was not visible in 3 (75%) patients, indicating a significant relationship between HBV and difficult intubation (p = 0.004). However, the difficult intubation had no significant relationship with DSHB and DBAC. But difficult intubation had a significant relationship with DSVC and DSTI (p < 0.05).

Table 5

Statistical characteristics of measured ultrasound parameters in predicting difficult intubation

Variable

Number of laryngoscopy attempts

p

< 3

≥ 3

Mean ± SD / number (%)

HBV

   

0.004

Yes

109 (91.6%)

1 (25%)

No

10 (8.4%)

3 (75%)

DSHB (mm)

8.75 ± 2.02

9.74 ± 1.05

0.629

DSVC (mm)

7.66 ± 1.87

9.81 ± 1.54

0.025

DSTI (mm)

8.85 ± 2.24

12.78 ± 1.85

0.001

DBAC (mm)

6.43 ± 1.64

6.96 ± 1.48

0.526

HBV: Hyoid Bone Visibility. DSHB: Distance from Skin to Hyoid Bone. DSVC: Distance from Skin to Vocal Cords. DSTI: Distance from Skin to Thyroid Isthmus. DBAC: Distance between Arytenoids Cartilages.

Discussion

In this study, ultrasound was able to predict difficult laryngoscopy and difficult intubation cases in a significant way, so that it showed that 3 indices of DSHB, DSVC, and DSTI were significantly valuable in predicting the presence of difficult laryngoscopy. Among them, DSTI had the highest sensitivity, and DSHB and DSVC had the highest specificity in terms of predicting difficult laryngoscopy.

These findings are consistent with Adhikari S (21) and J.A. Wojtczak’s (22) results. In a study by Adhikari S., DSHB in easy and difficult intubation cases was 1.37 vs. 9 cm and distance from skin to anterior thyrohyoid membrane was 2.37 vs. 3.47 cm, significantly indicating the relationship between difficult intubation and the distance from skin to the hyoid bone and anterior thyrohyoid membrane (21). In this study, the hyoid bone was visible in 70% of patients with difficult intubation. In a study by Hui CM et al., 11% of patients had difficult intubation. The hyoid bone was visible in 96.6% of patients with easy intubation, and not visible in 72.7% of patients with difficult intubation (23). This inconsistency may be due to differences in ultrasound techniques and device quality, BMI, or racial differences in patients. Our patients were of East Asian descent, while most studies have been conducted in European and American races.

In our study, DSHB and DSVC had the highest specificity (84%) which is consistent with results from Aruna Parameswar et al. (14) and Adhikari S (21) Kumatsu R. (24), examining airways of 64 patients with overweight and BMI > 35 using ultrasound who had difficult intubation found that DSVC (20.3 ± 4 mm) in these patients was shorter than that of patients with easy intubation (22.3 ± 3.8 mm) (24).It appears that according to previous studies and comparing their results with the current study, DSHB and DSVC are reliable factors for predicting difficult intubation. According to Hui CM, HBV was recognized as a strong predictive factor in determining difficult intubation with 73% sensitivity and 97% specificity (23). According to similar results in the present study, HBV can be a predictive factor for difficult intubation. We recommend that the anterior neck tissue (distance from the skin) be measured at two levels to predict difficult intubation using ultrasound: the distance from skin to the hyoid bone and the vocal cords. HBV shall also be examined; and it is also recommended to use ultrasound as a difficult intubation screening tool along with clinical screening methods.

In a 2015 systematic study, Bajracharya G et al. examined the accuracy of airway assessment by ultrasound during anesthesia. The study found that ultrasound, like CT scans and MRI could show high-resolution images of the anatomical structures of the upper airway. Various ultrasound parameters, including distance from skin to the hyoid bone, epiglottis and vocal cords; HBV in sublingual ultrasound, and hyomental distance were also identified as independent predictors of difficult laryngoscopy in obese and non-obese patients (25). CT scan and MRI can also measure the anterior neck soft tissue thickness, but are expensive and not available in many operating rooms, while portable ultrasound is a cheap, affordable, and fast way to assess the airway.

In this study DBAC had no significant correlations with difficult intubation, neither with the number of laryngoscopies of greater than or equal to three times, or the Cormack-Lehane grade. There is no similar study to compare the results. The low sample size in this study can also affect the results, so it is recommended to conduct further studies with a larger sample size to investigate the relationship between DBAC and difficult intubation.

In this study, ultrasound parameters were performed at three levels on the anterior neck and showed that ultrasound can be used to assess the airway and it is possible to measure 5 factors before intubation by ultrasound within 3–5 minutes.

Limitations

This study also had some limitations. Intubation is a complex procedure and many factors such as skill and experience of the physician, presence of secretions and blood in the airway, and presence of airway abnormalities interfere with its successful performance. Moreover, patient agitation and restlessness, lack of cooperation of patients in emergency conditions, overcrowding and the presence of multiple critically ill patients in the emergency room at the same time, and not having enough time to perform an ultrasound on the bed of hemodynamically unstable patients can interfere with having an ultrasound before intubation. Ultrasound is a tool that depends on the operator. The experience and skill of the physician who uses it is very effective in the results. Conducting this study with a larger sample size can more accurately show the relationship of ultrasound parameters of the upper airway with the degree of difficulty of intubation. The intubating person's prior knowledge of factors influencing difficult intubation before performing an ultrasound may be effective in measuring the parameters of the ultrasound.

Conclusion

According to the results of this study, ultrasound parameters including soft tissue DSHB, DSVC and DSTI could be considered as proper predictors of difficult laryngoscopy. Also, HBV, DSVC and DSTI may be considered as proper predictors for difficult intubation. While DBAC was not useful neither for predicting difficult laryngoscopy, nor difficult intubation, DSVC and DSTI were useful in predicting both difficult laryngoscopy and difficult intubation cases.

Declarations

Ethics approval and consent to participate

Proposal of the study was approved by the ethics committee of affiliated to Tehran University of Medical Sciences (IR.TUMS.VCR.REC.1396.3587). No additional costs were imposed on patients. Informed consent was obtained from first-degree relatives of the patients and it was explained that all methods were performed in accordance with the relevant guidelines, and no out-of-treatment measures were imposed on the patient and the ultrasound did not cause any delay in receiving the required managements.

Consent for publication

Informed consent from all subjects and/or their legal guardian(s) for publication of identifying information/images in an online open-access publication was recivied.

Availability of data and materials

All data would be available via contacting the corresponding author.

Competing interests

The authors declare that they have no competing interests.

Funding

This study conducted without receiving any fund or grant.

Authors' contributions

The conception and design of the work by MS, MK and AB; Data acquisition by MK, AJ, MM and AS; Analysis and interpretation of data by AJ and AS; Drafting the work by MK, MM, AS and AA; Revising it critically for important intellectual content by MS and AJ; All the authors approved the final version to be published; AND agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work.

Acknowledgements

We would like to express our commitment to the Prehospital and Hospital Emergency Research Center affiliated to Tehran University of Medical Sciences.

References

  1. Bernhard M, Mohr S, Weigand M, Martin E, Walther A. Developing the skill of endotracheal intubation: implication for emergency medicine. Acta Anaesthesiologica Scandinavica. 2012;56(2):164–71.
  2. Can Ö, Yalcinli S, Altunci YA. Comparison of Video Laryngoscopy and Direct Laryngoscopy in the Success of Intubation Performed by Novice Personnel in Patients with Cervical Immobilization: A Manikin Study. Frontiers in Emergency Medicine. 2021;5(4):e42-e.
  3. Burkle CM, Walsh MT, Harrison BA, Curry TB, Rose SH. Airway management after failure to intubate by direct laryngoscopy: outcomes in a large teaching hospital. Canadian journal of anaesthesia. 2005;52(6):634–40.
  4. Crosby ET, Cooper RM, Douglas MJ, Doyle DJ, Hung OR, Labrecque P, et al. The unanticipated difficult airway with recommendations for management. Canadian Journal of Anaesthesia. 1998;45(8):757–76.
  5. Falcetta S, Cavallo S, Pelaia P, Sorbello M. Ultrasound measurements as predictors of difficult direct laryngoscopy. Trends in Anaesthesia and Critical Care. 2017;12:13–6.
  6. Sagarin MJ, Barton ED, Chng Y-M, Walls RM, Investigators NEAR. Airway management by US and Canadian emergency medicine residents: a multicenter analysis of more than 6,000 endotracheal intubation attempts. Annals of emergency medicine. 2005;46(4):328–36.
  7. Kovacs G, Law JA, Ross J, Tallon J, MacQuarrie K, Petrie D, et al. Acute airway management in the emergency department by non-anesthesiologists. Canadian Journal of Anesthesia. 2004;51(2):174–80.
  8. Srivilaithon W, Muengtaweepongsa S, Sittichanbuncha Y, Patumanond J. Predicting difficult intubation in emergency department by intubation assessment score. Journal of clinical medicine research. 2018;10(3):247.
  9. Orebaugh SL. Difficult airway management in the emergency department. The Journal of emergency medicine. 2002;22(1):31–48.
  10. Hagiwara Y, Watase H, Okamoto H, Goto T, Hasegawa K, Investigators JEMN. Prospective validation of the modified LEMON criteria to predict difficult intubation in the ED. The American journal of emergency medicine. 2015;33(10):1492–6.
  11. Šustic A. Role of ultrasound in the airway management of critically ill patients. Critical care medicine. 2007;35(5):S173-S7.
  12. Hasegawa K, Shigemitsu K, Hagiwara Y, Chiba T, Watase H, Brown III CA, et al. Association between repeated intubation attempts and adverse events in emergency departments: an analysis of a multicenter prospective observational study. Annals of emergency medicine. 2012;60(6):749–54. e2.
  13. Rosenblatt WH, Yanez ND. A Decision Tree Approach to Airway Management Pathways in the 2022 Difficult Airway Algorithm of the American Society of Anesthesiologists. Anesthesia & Analgesia. 2022;134(5):910–5.
  14. Parameswari A, Govind M, Vakamudi M. Correlation between preoperative ultrasonographic airway assessment and laryngoscopic view in adult patients: A prospective study. Journal of Anaesthesiology, Clinical Pharmacology. 2017;33(3):353.
  15. Andruszkiewicz P, Wojtczak J, Sobczyk D, Stach O, Kowalik I. Effectiveness and validity of sonographic upper airway evaluation to predict difficult laryngoscopy. Journal of Ultrasound in Medicine. 2016;35(10):2243–52.
  16. Muslu B, Sert H, Kaya A, Demircioglu RI, Gözdemir M, Usta B, et al. Use of sonography for rapid identification of esophageal and tracheal intubations in adult patients. Journal of Ultrasound in Medicine. 2011;30(5):671–6.
  17. Zhang J, Teoh WH, Kristensen MS. Ultrasound in Airway Management. Current Anesthesiology Reports. 2020;10(4):317–26.
  18. Sotoodehnia M, Rafiemanesh H, Mirfazaelian H, Safaie A, Baratloo A. Ultrasonography indicators for predicting difficult intubation: a systematic review and meta-analysis. BMC Emergency Medicine. 2021;21(1):1–25.
  19. Meltem Turkay A, Kerem E, Sitki Nadir S, Taner A U, Gunes O U, Aysin A. Is ultrasonic investigation of transverse tracheal air shadow diameter reasonable for evaluation of difficult airway in pregnant women: a prospective comparative study. 2014.
  20. Tachibana N, Niiyama Y, Yamakage M. Incidence of cannot intubate-cannot ventilate (CICV): results of a 3-year retrospective multicenter clinical study in a network of university hospitals. Journal of anesthesia. 2015;29(3):326–30.
  21. Adhikari S, Zeger W, Schmier C, Crum T, Craven A, Frrokaj I, et al. Pilot study to determine the utility of point-of‐care ultrasound in the assessment of difficult laryngoscopy. Academic emergency medicine. 2011;18(7):754–8.
  22. Wojtczak JA. Submandibular sonography: assessment of hyomental distances and ratio, tongue size, and floor of the mouth musculature using portable sonography. Journal of Ultrasound in Medicine. 2012;31(4):523–8.
  23. Hui C, Tsui B. Sublingual ultrasound as an assessment method for predicting difficult intubation: a pilot study. Anaesthesia. 2014;69(4):314–9.
  24. Komatsu R, Sengupta P, Wadhwa A, Akça O, Sessler D, Ezri T, et al. Ultrasound quantification of anterior soft tissue thickness fails to predict difficult laryngoscopy in obese patients. Anaesthesia and intensive care. 2007;35(1):32–7.
  25. Bajracharya GR, Truong AT, Truong D-T, Cata JP. Ultrasound-assisted evaluation of the airway in clinical anesthesia practice: past, present and future. Int J Anesthesiol Pain Med. 2015;1(1):1–2.